Déterminants de l’adoption des TIC par les agriculteurs de la région du Centre au Burkina Faso

Ibrahim Sana; Achille Augustin Diendere; Afouda Jacob Yabi

doi:10.19044/esj.2024.v20n35p121

Ibrahim Sana Université de Parakou, Benin
Achille Augustin Diendere Université Thomas Sankara, Burkina Faso
Afouda Jacob Yabi Université de Parakou, Benin

DOI: https://doi.org/10.19044/esj.2024.v20n35p121

Keywords: Adoption ; Burkina Faso ; Déterminant ; TIC

Abstract

Cette recherche analyse les déterminants de l'adoption des technologies de l'information et de la communication (TIC) par les agriculteurs. Les données ont été recueillies auprès de 420 agriculteurs de la région du Centre au Burkina Faso, sélectionnés par échantillonnage aléatoire simple. L'analyse des données repose sur des statistiques descriptives et un modèle Probit multivarié. Les résultats révèlent que des facteurs comme le sexe, le niveau d’instruction, l’âge, la distance au marché, le revenu non agricole et l’appartenance à une organisation de producteurs influencent de manière différenciée l’adoption de chaque type spécifique de TIC étudiées. Ces résultats mettent en évidence la nécessité de développer des politiques TIC qui soient spécifiquement adaptées aux profils des agriculteurs, en tenant compte de leurs caractéristiques socio-démographiques, économiques et institutionnelles. Il est essentiel d'intégrer des stratégies tenant compte du genre et de l'âge, ainsi que d'offrir des subventions financières pour faciliter l'adoption. Étant donné que chaque technologie requiert une approche distincte, il est primordial de concevoir des solutions adaptées aux contextes locaux et de renforcer les organisations de producteurs afin de sensibiliser et de former les agriculteurs de manière efficace.

This research explores the determinants of farmers' adoption of information and communication technologies (ICTs). Data were collected from 420 farmers in the Center region of Burkina Faso, selected by simple random sampling. Data analysis was based on descriptive statistics and a multivariate Probit model.The results reveal that factors such as gender, level of education, age, distance from the market, off-farm income and membership of a producer organization differentially influence the adoption of each specific type of ICT studied. These results highlight the need to develop ICT policies that are specifically tailored to farmers' profiles, taking into account their socio-demographic, economic and institutional characteristics. Gender- and age-sensitive strategies are essential, as are financial subsidies to facilitate adoption. As each technology requires a distinct approach, it is essential to design solutions adapted to local contexts, and to strengthen producer organizations in order to raise awareness and train farmers effectively.

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